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The Relation between Mathematical Connection Abilities and Mathematical Problems Solving Skill of Cadet Agustina, Eka Nurmala Sari; Sari, Tri Hariyati Nur Indah; Novitasari, Novitasari
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 9 No 2 (2024): September 2024 - February 2025
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v9i2.5098

Abstract

This study aims to identify the relationship between mathematical connection ability (MCA) and mathematical problem-solving skills (MPSS) in cadets of the Ship Operation Engineering Technology Study Program at the Surabaya Maritime Polytechnic. Using a quantitative descriptive approach, 21 cadets were given two questions designed to measure MCA and MPSS, which were then analyzed using descriptive statistics and the Spearman rank correlation test. The results showed a significant positive correlation between MCA and MPSS, with a coefficient value of 0.901. This finding indicates that cadets with higher MCA tend to have better problem-solving skills. Additionally, cadets experienced difficulties with questions involving trigonometric concepts in a nautical context, such as the use of compass points and distance calculations. This study highlights the importance of strengthening MCA and MPSS in maritime vocational education to enhance cadets' technical and cognitive skills, particularly in solving complex operational problems in the maritime sector.
Desain Soal Numerasi Konteks Saintifik dengan Integrasi Konsep Maritim Fachrudin, Achmad; Novitasari, Novitasari; Rahmawati, Tanti Diyah
MATHEdunesa Vol. 14 No. 2 (2025): Jurnal Mathedunesa Volume 14 Nomor 2 Tahun 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathedunesa.v14n2.p565-579

Abstract

As a maritime nation with significant marine potential, integrating maritime contexts into secondary education in Indonesia is essential for preparing students to understand mathematical concepts and their applications in various maritime professions. To support this goal, we developed scietific numeracy tasks by integrating maritime concepts. We designed the tasks based on a literature review related to maritime concepts and referred to the PISA framework, which was then realized in the form of a maritime numeracy conceptual framework. This framework consists of four main subcontexts: navigation, marine engineering, oceanography, and maritime economics. We developed tasks for each subcontexts, which were evaluated by three experts. The experts validated based on relevance of the maritime context, involvement of maritime concepts, suitability in measuring numeracy, and quality of the tasks from pedagogical aspect. The evaluation results showed that the quality of the tasks was in the very good category in all aspects, with a moderate and good level of agreement among the experts, indicated by the interclass correlation coefficient score of 0.538. This research is expected to contribute to the innovation of numeracy task design with scientific contexts that specifically accommodate maritime concepts and support efforts to improve students’ numeracy in Indonesia.
Assessing Contextual Mathematical Literacy of Nautical Cadets Using PISA Proficiency Levels: Evidence from Maritime Vocational Education Novitasari, Novitasari; Agustina , Eka Nurmala Sari; Anggraeni, Atika Tirzha Sabrina
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 8 No. 1 (2026): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v8i1.1316

Abstract

Mathematical literacy is a crucial competence in maritime education, supporting navigation accuracy, operational efficiency, and safety-related decision-making. However, empirical studies assessing mathematical literacy within authentic maritime vocational contexts remain limited. This study investigates the contextual mathematical literacy of nautical cadets using the PISA proficiency framework embedded in authentic maritime work-related scenarios. A quantitative descriptive design was employed with 23 cadets from a maritime vocational institution. Data were collected through a Contextual Mathematical Literacy Test (CMLT) developed using authentic maritime operational tasks. Descriptive and non-parametric analyses examined proficiency distributions and group differences. The findings indicate that most cadets perform at low to medium proficiency levels, highlighting the need for context-based and PISA-oriented mathematics instruction aligned with professional maritime demands.
Analysis of Fuel Consumption Variation of the 8dkm-28e Main Engine at Stable Performance of 620 RPM in the MV. Tanto Keluarga Nourman Viqry Dwinanda; Agus Prawoto; Shofa Dai Robbi; Monika Retno Gunarti; Novitasari
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.490

Abstract

This study examines the variation of Heavy Fuel Oil (HFO) fuel consumption of the DAIHATSU 8DKM28e Main Engine at a stable performance condition of 620 RPM on the container ship MV. Tanto Keluarga, amidst the pressure of increasing fuel costs and regulations on maritime efficiency and decarbonization. The study uses a descriptive quantitative approach with a population of all main engine operational data during a certain voyage period and a sample of 5 sheets of Noon Report At Sea at a stable voyage condition in the open sea. The main instrument is the daily noon report that records the main engine speed, turbocharger speed, fuel rack, HFO consumption, and weather and sea conditions, plus ship technical documents and academic literature as secondary instruments. The data analysis technique used is descriptive quantitative analysis, with the calculation of averages, ranges, and trends as well as simple correlation examinations between performance parameters. The results show that HFO consumption varies up to approximately 1,005 liters per day at a relatively stable RPM, with a pattern closely related to changes in fuel rack, turbocharger speed, and sea state and weather conditions. The findings support that the main engine performance condition at 620 RPM is in dynamic equilibrium, so that fuel efficiency assessment needs to integrate internal and external factors simultaneously to support operational management, OPEX reduction, and compatibility with IMO EEXI and CII regulations.
An MSI-Transformed Multiple Linear Regression Model for Early Warning of Seafarers' Safety Compliance in a Maritime IDSS Prototype Fachrudin, Achmad Dhany; Novitasari, Novitasari; Zainuddin, Mochamad; Azhar, Fieranda Firdaus; Santoso, Agus Dwi; Basuki, Nanang
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i2.32310

Abstract

This study developed an MSI-transformed multiple linear regression model to estimate seafarers’ safety compliance from fatigue and occupational stress and implemented the resulting equation in a Python-based Maritime Intelligent Decision Support System prototype. Data were collected from 49 professional seafarers using a five-point Likert questionnaire measuring fatigue, occupational stress, and safety compliance. The ordinal responses were transformed into interval-based scores through the Method of Successive Intervals and analysed using ordinary least-squares regression. The overall model was statistically significant, F(2,46)=4.139, p=0.0222, with R2=0.153. Fatigue produced a negative but non-significant coefficient (β=−0.1020, p=0.489), while occupational stress also showed a negative coefficient (β=−0.2366, p=0.092). Thus, the predictors jointly accounted for a modest proportion of compliance variation, although neither showed an independently significant association at the 5% level. The estimated equation was embedded in the prototype to generate compliance scores and assign preliminary Safe, Alert, and Critical categories. Generative AI was restricted to translating deterministic outputs into concise mitigation narratives and did not calculate scores or determine categories. The study provides a transparent and reproducible workflow integrating ordinal-score transformation, interpretable regression, and computational decision support. The resulting architecture preserves traceability, supports human oversight, and demonstrates an exploratory early-warning framework for maritime safety compliance rather than a validated predictor of accidents or individual unsafe behaviour under current operational assessment conditions.
Analysis of Student's Creative Thinking Ability on Arithmetic Sequences in the Lesson Study Framework Rayinda Aseti Prafianti; Novitasari Novitasari; M Ulul Albab; Dian Novi Ambarwati
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 5 No. 1 (2023): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v5i1.700

Abstract

This research aims to determine the creative thinking ability of students in arranging and solving contextual problems on arithmetic sequence. This research is a descriptive quantitative study through a Lesson Study framework with a subject of 18 students of the Mathematics Education study program at the Islamic University of Lamongan. The instruments in this study include attitude assessment sheets used to measure student activity in participating in learning and Student Worksheets used to measure students' creative thinking ability in arranging and solving contextual problems on arithmetic sequences. The results of the analysis show that the average score of student activities during learning is 85.13% while the average score of students' creative thinking ability is 71.875% in the Enough category.
Troubleshooting Analysis of the Gandroom Cooling System on the KM. Lambelu Rifqi Taufiqul Hakim; Antonius Edy Kristiyono; Shofa Dai Robbi; Monika Retno Gunarti; Novitasari
International Journal of Science and Environment (IJSE) Vol. 6 No. 1 (2026): February 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i1.452

Abstract

The ship's refrigeration system is crucial for the preservation of crew food during the voyage, but a failure on KM. Lambelu resulted in temperatures of only -5°C (fish) and -6°C (meat) versus the target of -18°C. This study aims to analyze troubleshooting using mixed methods convergent parallel with FMEA for RPN, repair impact, and post-replacement evaluation of the compressor. The population is KM. Lambelu's engineering officers, a purposive sample of 30 respondents. Instruments are Likert questionnaires (S, O, D), logbooks, photographs; validity/reliability test analysis, RPN = S × O × D, qualitative reduction. The results show the highest RPN 50 compressor, replacement restores pull-down from 25°C to -23°C. Conclusion: replacement effectively restores optimal function, prioritize preventive inspections.
Linear Programming-Based Maritime Speed Allocation and Fuel-Cost Efficiency: An Intelligent Decision Support System with an LLM Explanation Layer Moejiono Moejiono; Achmad Dhany Fachrudin; Diana Alia; Novitasari Novitasari; Abadi Abadi; Damoyanto Purba
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 3 (2026): In Progress
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i3

Abstract

This applied mathematical study develops a linear-programming model for maritime speed allocation to minimize estimated voyage operating cost under route-distance and sailing-deadline constraints. The decision variables represent the distance assigned to each predefined speed mode, enabling the model to determine a continuous mixed-speed allocation that remains feasible within the permitted sailing time. The model was implemented in a web-based Intelligent Decision Support System (IDSS) using a HiGHS-based linear-programming solver and demonstrated on the Tanjung Priok–Tanjung Perak route using an application-generated distance of 469.84 nautical miles. Under a baseline VLSFO price of USD 755/MT and a 35-hour sailing deadline, the model allocated 390.69 NM to the 13-knot mode and 79.15 NM to the 16-knot mode, producing an estimated minimum operating cost of USD 34,748.16 and total fuel consumption of 38.30 MT. Sensitivity analysis shows that tighter deadlines shift the optimal allocation toward higher-speed modes, increase estimated voyage cost, and eventually produce infeasibility when the required travel time falls below the capability of the fastest available speed mode. At the fixed 35-hour deadline, fuel-price variation changes the objective-function value without altering the selected speed allocation in the tested scenarios. As a supplementary interpretive component, an LLM-based layer transforms structured optimization outputs into a natural-language Voyage Master Plan while preserving the ship master's final authority. The study therefore contributes a traceable mathematical optimization model and a functionally integrated explanation interface. Because the analysis uses model-input parameters rather than empirically calibrated vessel records and does not include user-based evaluation, further validation is required before operational deployment.